Compatible with every major AI agent and IDE
What is the Digify MCP Server?
Connect your Digify account to any AI agent and take full control of your secure document distribution and Virtual Data Room (VDR) workflows through natural conversation.
What you can do
- Document Protection Orchestration — Programmatically protect sensitive files with granular Digital Rights Management (DRM) settings, including view-only access and dynamic watermarks
- VDR Architecture — Create and manage secure Virtual Data Rooms for high-stakes business collaboration, including inviting guests and managing folder structures
- Engagement Intelligence — Retrieve detailed audit logs and activity reports to monitor who accessed your protected documents and for how long
- Access Control Lifecycle — Programmatically revoke access or update sharing permissions for individual files or entire Data Rooms directly through your agent
- Administrative Visibility — Monitor Data Room engagement statistics and manage webhook configurations to maintain a high-fidelity secure ecosystem
How it works
- Subscribe to this server
- Retrieve your Key ID and Key Secret from your Digify Developer dashboard
- Start securing your corporate assets from Claude, Cursor, or any MCP client
No more manual watermarking or complex invitation tracking in the web portal. Your AI acts as your dedicated security and document operations coordinator.
Who is this for?
- Legal & Finance Teams — instantly secure sensitive contracts and manage M&A Data Rooms using natural language commands
- Corporate Executives — track engagement with confidential board materials and board books without leaving your workspace
- Operations Leads — automate guest provisioning and monitor audit trails through simple AI queries
Built-in capabilities (12)
Create a new Data Room
Get account status
Get Data Room details
Get Data Room engagement stats
Get file details
Invite a guest to a Data Room
Track document activities
List Data Room participants
List Virtual Data Rooms
List protected files
List configured webhooks
Securely share a file
Why Pydantic AI?
Pydantic AI validates every Digify tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Digify integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Digify connection logic from agent behavior for testable, maintainable code
Digify in Pydantic AI
Digify and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Digify to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Digify in Pydantic AI
The Digify MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Digify for Pydantic AI
Every tool call from Pydantic AI to the Digify MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Digify Key ID and Secret?
Log in to your account at digify.com, navigate to the API section in your dashboard, and generate a new set of API keys.
Can I prevent recipients from downloading protected files?
Yes! The protect_file tool includes an allow_download parameter. Set it to false to enable view-only access via the secure link.
How do I invite multiple guests to a Data Room?
Use the invite_guest tool for each participant. You can ask your agent to process a list of emails to coordinate batch invitations.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Digify MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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